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20192025
most citedA Method of Rapid Quantification of Patient-Specific Organ Dose for CT Using Coupled Deep-Learning based Multi-Organ Segmentation and GPU-accelerated Monte Carlo Dose Computing

82 citations · 109 across the 8 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

eess.IV2019★ 4 cited

Unified Multi-scale Feature Abstraction for Medical Image Segmentation

Xi Fang, Bo Du, Sheng Xu +2

Automatic medical image segmentation, an essential component of medical image analysis, plays an importantrole in computer-aided diagnosis. For example, locating and segmenting the…

physics.med-ph2019★ 82 cited

A Method of Rapid Quantification of Patient-Specific Organ Dose for CT Using Coupled Deep-Learning based Multi-Organ Segmentation and GPU-accelerated Monte Carlo Dose Computing

Zhao Peng, Xi Fang, Pingkun Yan +7

Purpose: This paper describes a new method to apply deep-learning algorithms for automatic segmentation of radiosensitive organs from 3D tomographic CT images before computing orga…